RLRF: Competitive Search Agent Design via Reinforcement Learning from Ranker Feedback

Fuente: arXiv

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Bibliographic Details
Main Authors:	Mordo, Tommy, Dekel, Sagie, Madmon, Omer, Tennenholtz, Moshe, Kurland, Oren
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Computer Science and Game Theory Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2510.04096